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Lindy Hello World

lindy-hello-world

jeremylongshore/claude-code-plugins-plus-skills

Provides a minimal Lindy AI agent example for starting a new integration, testing your setup, or learning core API patterns, guiding you through file creation, client initialization, and first agent execution.

Llama cpp CPU Inference

Orchestra-Research/AI-Research-SKILLs

Deploy llama.cpp to run LLM inference across CPUs, Apple Silicon, and non-NVIDIA GPUs, making it ideal for edge devices or CUDA-free setups with GGUF quantization for faster, lower-memory results.

Llama Factory Guide

Orchestra-Research/AI-Research-SKILLs

Provides expert guidance for fine-tuning large language models with LLaMA-Factory, covering no-code WebUI usage, QLoRA/LoRA optimizations, multimodal inputs, and curated references so developers can build and debug solutions faster.

LLM Prompt Optimization

llm-application-dev-prompt-optimize

sickn33/antigravity-awesome-skills

Guides expert prompt engineers through advanced LLM prompt optimization techniques—constitutional AI, chain-of-thought reasoning, and model-specific tuning—to boost accuracy, reduce hallucinations, and cut token costs.

Enterprise Miles RL

miles-rl-training

Orchestra-Research/AI-Research-SKILLs

Guidance for training large multimodal MoE models with miles, covering FP8/INT4 quantization-aware regimes, train-inference alignment, speculative RL throughput tricks, and enterprise stability practices for production deployments.

Mistral SDK Patterns

mistral-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

Provides production-ready Mistral SDK practices for TypeScript and Python, covering client initialization, chat completions, streaming, tool calling, embeddings, and error handling for integration projects.

Model Quantization Assistant

model-quantization-tool

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for deploying machine learning models with quantization, covering tooling, best practices, and production readiness for inference, MLops, and monitoring tasks.

Model Registry Manager

model-registry-manager

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for model registry manager tasks within ML deployment, covering serving, MLOps pipelines, monitoring, and production optimization whenever that trigger phrase appears.

Onnx Converter Deployment

jeremylongshore/claude-code-plugins-plus-skills

Automates onnx converter work for ML deployment, providing best-practice guidance on serving, pipelines, monitoring, and optimization while generating production-ready code and configs.

OpenEvidence Enterprise RBAC

openevidence-enterprise-rbac

jeremylongshore/claude-code-plugins-plus-skills

Guides configuring OpenEvidence enterprise SSO, role-based permissions, and organization controls for clinical AI apps, covering role definitions, SAML/OIDC integration, middleware protection, session handling, and multi-tenant management.

OpenRouter Context Optimization

openrouter-context-optimization

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through verifying prerequisites, reviewing examples, and adapting configuration to manage OpenRouter context windows efficiently, trimming tokens and avoiding limits while keeping production monitoring in place.

OpenRouter Team Setup

openrouter-team-setup

jeremylongshore/claude-code-plugins-plus-skills

Set up OpenRouter for teams by configuring multi-user access, RBAC permissions, and department billing with usage tracking; ideal for onboarding departments or sharing secure API keys across an organization.

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